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  • Prediction of inner wood defects from outer bark shape 

    Mejri, Mohamed (Georgia Institute of Technology, 2020-04-29)
    The analysis of the internal structure of trees is highly important for both forest experts, biological scientists, and the wood industry. Traditionally, CT-scanners are considered as the most efficient way to get an ...
  • Novel method of digitization of electrocardiogram signals 

    Ganesh, Shambavi (Georgia Institute of Technology, 2020-04-28)
    The objective of the proposed research is to implement a novel digitization tool which extracts electrocardiogram (ECG) signals, as well as patient demographic information from paper electrocardiography records. A MATLAB ...
  • Theoretical performance bounds for the estimation of target parameters from electromagnetic induction data 

    Kerr, Andrew J. (Georgia Institute of Technology, 2020-04-24)
    Cramer-Rao lower bounds are derived and analyzed for the unknown target parameters associated with frequency-domain electromagnetic induction measurements of a target. The target parameters include the target’s tensors, ...
  • Generation of realistic tree barks using deep learning 

    Venkataramanan, Aishwarya (Georgia Institute of Technology, 2020-05-05)
    With the increase in demand for high-quality visual content in video games, movies, and simulators, it is of paramount importance to create realistic 3D models of trees, which are ubiquitous and find application in many ...
  • Interpretable models for automatic sleep stage scoring 

    Al-Hussaini, Irfan (Georgia Institute of Technology, 2020-04-28)
    This thesis aims to combine domain knowledge with deep learning to develop interpretable yet robust models for a particular clinical decision support system, sleep staging. The method is transferable to other areas where ...
  • Ultrasenstive microwave planar metamaterial sensors for materials characterization 

    Alotaibi, Salem Ali A. (Georgia Institute of Technology, 2020-04-25)
    The objective of this research is to design low power, miniaturized and ultrasensitive microwave transmission line based metamaterials, evaluate their performance then utilize them for bulk materials’ constitutive parameters ...
  • Congestion game-based task allocation for multi-robot teams 

    Zhong, Hai (Georgia Institute of Technology, 2020-04-28)
    Multi-robot teams can complete complex missions that are not amenable to an individual robot. A team of heterogeneous robots with complementing capabilities is endowed with advantages to allow deep collaboration in dynamic ...
  • Single channel speech enhancement with residual learning and recurrent network 

    Chen, Hua (Georgia Institute of Technology, 2020-04-28)
    For speech enhancement tasks, non-stationary noise such as babble noise is much harder to suppress than stationary noise. In low SNR environment, it is even more challenging to remove noise without creating significant ...
  • Time domain analysis of the impact of geomagnetically induced current on power system 

    Xie, Jiahao (Georgia Institute of Technology, 2020-04-24)
    To understand the impact of geomagnetically induced current (GIC) on power system equipment, a time domain simulation based analysis is proposed. This analysis starts with developing the device models in time domain ...
  • Syntactically guided text generation 

    Li, Yinghao (Georgia Institute of Technology, 2020-04-28)
    In recent years, as researchers have achieved breakthrough in the generic text generation, increased works turned their attention to controllable text generation to imply external knowledge to constrain the semantics or ...
  • Differentiable neural logic networks and their application onto inductive logic programming 

    Payani, Ali (Georgia Institute of Technology, 2020-04-21)
    Despite the impressive performance of Deep Neural Networks (DNNs), they usually lack the explanatory power of disciplines such as logic programming. Even though they can learn to solve very difficult problems, the learning ...
  • Automatic speaker verification and diarization on VoxCeleb data collection 

    Yang, Yufeng (Georgia Institute of Technology, 2020-04-21)
    Automatic speaker verification (ASV) is increasingly getting more attention in speech research field in recent years. Because of the importance of cyber-security and personal property security, ASV can be used in many ...
  • Model building and LSTM-based system identification for implantable devices 

    Zhou, Mi (Georgia Institute of Technology, 2020-04-28)
    Implantable medical devices (IMDs) have aroused a wide research interest because of its increased ability of monitoring and recording signals from human organs and tissues. There are numerous issues that are under researching, ...
  • New side-channel and techniques for hardware trojan detection 

    Nguyen, Ngoc Luong Ngoc (Georgia Institute of Technology, 2020-04-21)
    The thesis introduces a new physical side-channel, which we call the backscattering side-channel, and propose novel hardware Trojan (HT) and counterfeit integrated circuit (IC) detection techniques that exploit the ...
  • Verification and synthesis for stochastic systems with temporal logic specifications 

    Dutreix, Maxence Dominique Henri (Georgia Institute of Technology, 2020-04-16)
    The objective of this thesis is to first provide a formal framework for the verification of discrete-time, continuous-space stochastic systems with complex temporal specifications. Secondly, the approach developed for ...
  • Learning from pairwise similarity for visual categorization 

    Hsu, Yen-Chang (Georgia Institute of Technology, 2020-04-13)
    Learning high-capacity machine learning models for perception, especially for high-dimensional inputs such as in computer vision, requires a large amount of human-annotated data. Many efforts have been made to construct ...
  • Classification of anomalous machine sounds using i-vectors 

    Tanveer, Maham (Georgia Institute of Technology, 2020-04-08)
    The objective of the proposed work is to analyze and study the use of i-vectors for Anomalous Detection of Sounds (ADS) in Machines. I-vectors, to the best of our knowledge, have not been studied for machine sounds. We ...
  • Covert/side channel analysis, modeling and capacity estimation 

    Yilmaz, Baki Berkay Berkay (Georgia Institute of Technology, 2020-04-07)
    Side/Covert channels are asynchronous channels which are not designed nor intended to transfer information. These channels are generated as a byproduct of performing legitimate program activities on the hardware of computer ...
  • Efficient pipelined ReRAM-based processing-in-memory architecture for convolutional neural network inference 

    Ko, Sho (Georgia Institute of Technology, 2020-04-07)
    This research work presents a design of an analog ReRAM-based PIM (processing-in-memory) architecture for fast and efficient CNN (convolutional neural network) inference. For the overall architecture, we use the basic ...
  • Electronic antibody microarrays for label-free cell immunophenotyping 

    Liu, Ruxiu (Georgia Institute of Technology, 2020-04-25)
    Immunophenotyping (i.e., identifying cell membrane antigens) is widely used to characterize cell populations in basic research and to diagnose diseases from surface biomarkers in the clinic. This process usually requires ...

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